🔗 Who cites «The Importance of Being Recurrent for Modeling Hierarchical Structure»

64 papers of our library cite it (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← back to «The Importance of Being Recurrent for Modeling Hierarchical Structure»

1. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
2. Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be PrunedAnnual Meeting of the Association for Computational Linguistics (ACL)Elena Voita, David Talbot, Fedor Moiseev, et al.2019 · 1,535 citations
3. Revealing the Dark Secrets of BERTarXiv:1908.08593Olga Kovaleva, Alexey Romanov, Anna Rogers, et al.2019 · 750 citations
4. Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 740 citations
5. Assessing BERT's Syntactic AbilitiesarXiv:1901.05287Yoav Goldberg2019 · 523 citations
6. An Analysis of Encoder Representations in Transformer-Based Machine TranslationEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlessandro Raganato, Jörg Tiedemann2018 · 369 citations
7. Information-Theoretic Probing with Minimum Description LengthConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Ivan Titov2020 · 345 citations
8. BabyBERTa: Learning More Grammar With Small-Scale Child-Directed LanguageConference on Computational Natural Language Learning (CoNLL)Philip A. Huebner, Elior Sulem, Fisher Cynthia, et al.2021 · 164 citations
9. Compositionality decomposed: how do neural networks generalise?arXiv:1908.08351Dieuwke Hupkes, Verna Dankers, Mathijs Mul, et al.2019 · 162 citations
10. Cross-Linguistic Syntactic Evaluation of Word Prediction ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, et al.2020 · 98 citations
11. Neuron-level Interpretation of Deep NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Hassan Sajjad, Nadir Durrani, Fahim Dalvi2022 · 85 citations
12. How Can Self-Attention Networks Recognize Dyck-n Languages?Findings of the Association for Computational LinguisticsJavid Ebrahimi, Dhruv Gelda, Wei Zhang2020 · 41 citations
13. Evaluating Document Coherence ModelingTransactions of the Association for Computational Linguistics (TACL)Aili Shen, Meladel Mistica, Bahar Salehi, et al.2021 · 30 citations
14. A closer look at the performance of neural language models on reflexive anaphor licensingSociety for Computation in Linguistics (SCiL)Jennifer Hu, Sherry Yong Chen, Roger Levy2020 · 24 citations
15. On the Difficulty of Translating Free-Order Case-Marking LanguagesTransactions of the Association for Computational Linguistics (TACL)Arianna Bisazza, Ahmet Üstün, Stephan Sportel2021 · 19 citations
16. SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic KnowledgeRoberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.2022 · 8 citations
17. SimpleBooks: Long-term dependency book dataset with simplified English vocabulary for word-level language modelingarXiv:1911.12391Huyen Nguyen2019

47 more papers of our library cite it; they have no page here yet.

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